About this role
BlackRock's Fundamental Fixed Income Team is searching for a candidate who will take ownership of key analytics supporting a both a fundamental and systematic investment process across all asset classes. The successful candidate will conduct quantitative research to improve existing alpha models/strategies, combine quantitative and fundamental views, develop macroeconomic indicators, and improve portfolio construction. They will work with portfolio managers and investors to identify new systematic investing ideas, analytics, and/or investment screening metrics for use by fundamental investors. The ideal candidate is a creative thinker with an eye for detail and is seeking to develop skills in data science and investing.
We are looking for a candidate who has a keen interest in the following:
Alpha generation: extracting signals from alternative data sets that provide investment opportunities to investors.
Natural language processing for the purpose of extracting and correlating n-grams from unstructured text including from financial reports, news, and contracts in order to drive contextual understanding in different business applications across the firm.
Automating repeatable tasks done by humans to free them up to work on the tasks that require their human intelligence
Play a leading role in end to end analysis that includes data gathering, requirements specification, processing, analysis, algorithms, builds, code reviews, ongoing deliverables, and presentations for specific projects.
Lead in prototype analysis and data pipelines iteratively that will lead to insights at scale
Research and develop new analytic solutions and methods to directly improve the team's investment forecasts and performance
Passion for applying software towards solving complex problems (experience with Python, Django, and or AngularJS a plus)
Familiarity with financial markets, macro-economics and multi-asset investing.
Experience with systematic research, including portfolio construction, back testing quantitative signals, regime analysis and factor investing.
Ability to analyze large data sets, including design and testing methods in a fast-paced environment; Experience in applying SQL, Python, Perl, or similar scripting knowledge in day-to-day work is a plus
Ability to work in an entrepreneurial, fast paced, and team oriented environment.
Excellent interpersonal and communication skills
Expertise in analytical approaches including predictive modeling, forecasting, clustering; knowledge of scripting and analysis languages such as Python, R and SQL; experience and comfort level in data analytics at every level of the stack
Knowledge of SQL or experience working with relational database management systems
Knowledge of client/server communication architecture
CFA or CFA candidate a plus
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.
BlackRock's purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals. As of September 30, 2020, the firm managed approximately $7.81 trillion in assets on behalf of investors worldwide.
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BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.